diff options
Diffstat (limited to 'numpy/linalg/linalg.py')
| -rw-r--r-- | numpy/linalg/linalg.py | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/numpy/linalg/linalg.py b/numpy/linalg/linalg.py index e6a7bc3cb..88d76d24e 100644 --- a/numpy/linalg/linalg.py +++ b/numpy/linalg/linalg.py @@ -33,7 +33,7 @@ def _commonType(*arrays): # force higher precision in lite version precision = 1 for a in arrays: - t = a.dtypechar + t = a.dtype.char kind = max(kind, _array_kind[t]) precision = max(precision, _array_precision[t]) return _array_type[kind][precision] @@ -55,7 +55,7 @@ _fastCT = fastCopyAndTranspose def _fastCopyAndTranspose(type, *arrays): cast_arrays = () for a in arrays: - if a.dtypechar == type: + if a.dtype.char == type: cast_arrays = cast_arrays + (_fastCT(a),) else: cast_arrays = cast_arrays + (_fastCT(a.astype(type)),) @@ -209,16 +209,16 @@ def Heigenvalues(a, UPLO='L'): def _convertarray(a): if issubclass(a.dtype, complexfloating): - if a.dtypechar == 'D': + if a.dtype.char == 'D': a = _fastCT(a) else: a = _fastCT(a.astype('D')) else: - if a.dtypechar == 'd': + if a.dtype.char == 'd': a = _fastCT(a) else: a = _fastCT(a.astype('d')) - return a, a.dtypechar + return a, a.dtype.char # Eigenvectors @@ -370,7 +370,7 @@ def svd(a, full_matrices = 1): def generalized_inverse(a, rcond = 1.e-10): a = array(a, copy=0) - if a.dtypechar in typecodes['Complex']: + if a.dtype.char in typecodes['Complex']: a = conjugate(a) u, s, vt = svd(a, 0) m = u.shape[0] |